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Internship Mathematical Modeling Jobs in Washington

Hirekeyz Inc

Lead Machine Learning Engineer

Fort Belvoir, VA · On-site

$115K - $152K/yr

Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field * Master's or ... Proven track record in designing, building, and/or delivering ML models and components that solve ...

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Internship Mathematical Modeling information

What types of projects can I expect to work on during an internship in mathematical modeling?

As an intern in mathematical modeling, you will likely work on projects that involve creating and analyzing mathematical representations of real-world systems. These can include tasks such as developing predictive models for business processes, optimizing logistics, or simulating scientific phenomena. You'll typically collaborate with data scientists, engineers, and subject matter experts to gather requirements, validate your models, and present findings. This hands-on experience helps you build both your technical and teamwork skills, preparing you for more advanced roles in analytics and modeling.

What are the key skills and qualifications needed to thrive as an internship in mathematical modeling, and why are they important?

To thrive in a Mathematical Modeling internship, you need solid foundations in mathematics, statistics, and programming, usually supported by coursework in applied mathematics or related fields. Familiarity with technical tools like MATLAB, Python, R, and simulation software is often expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when working with complex data and interdisciplinary teams. These competencies are crucial for accurately developing models, interpreting results, and conveying findings to diverse stakeholders.

What is the difference between Internship Mathematical Modeling vs Data Analyst Internship?

AspectInternship Mathematical ModelingData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in mathematics, statistics, or related fieldsOften pursuing or recent graduate in statistics, data science, or related fields
Work EnvironmentResearch-focused, project-based, often in academia or R&D departmentsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in industries like finance, engineering, and tech for modeling complex systemsCommon in marketing, finance, healthcare, and tech for data analysis

Internship Mathematical Modeling and Data Analyst Internships both involve working with data, but modeling internships focus on developing mathematical representations of systems, while data analysis internships emphasize interpreting and visualizing data for decision-making. The choice depends on your interest in theoretical modeling versus practical data insights.

What is an internship in mathematical modeling?

An internship in mathematical modeling is a temporary, practical work experience where students or recent graduates apply mathematical theories and computational techniques to solve real-world problems. Interns typically work with data analysis, simulation, and mathematical software to develop models in fields such as engineering, finance, or science. These internships help participants gain hands-on experience, improve technical skills, and build professional networks in preparation for future careers.
What are the most commonly searched types of Mathematical Modeling jobs in Washington? The most popular types of Mathematical Modeling jobs in Washington are:
What cities in Washington are hiring for Internship Mathematical Modeling jobs? Cities in Washington with the most Internship Mathematical Modeling job openings:
Internship Mathematical Modeling jobs near you

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • Remote

Internship

Re-posted 3 days ago

Job description

About KnexusDo you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!Position OverviewDuring your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.Key ResponsibilitiesBuild unique and custom AI solutions for DoD agencies.Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.Qualifications and ExperienceDegree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!Warfare qualification is a plus You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.Defense Logistics Agency (DLA)Naval Surface and Mine Warfighting Development Center (SMWDC)Surface Warfare Officer School (SWOS)Department Head tour as a Surface Warfare Officer (SWO)NAVAIROffice of Naval ResearchNaval Research LabDARPA